ML-TOMCAT V1.0: Machine-Learning-Based Satellite-Corrected Global Stratospheric Ozone Profile Dataset

MLTOMCAT is 42 years (1979-2020) of gap free ozone profile data sets that is created by correcting biases in a TOMCAT Chemical Transport Model (CTM) simulated ozone profiles. We use Random Forest regression model to correct model biases. 

Each file contain monthly mean zonal mean ozone profiles. There are 4 data files.

MLTOMCAT_1979_2020_72_ht_vmr.nc contains ozone profiles on geometric height levels (1 to 60 km)  in mixing ratio units, whereas  MLTOMCAT_1979_2020_72_ht_nd.nc contains ozone profile in number density units.

Similarly, 

MLTOMCAT_1979_2020_72_plev_vmr.nc contains ozone profiles on 43 MLS pressure levels  (1000 to 0.1 hPa)  in mixing ratio units, whereas  MLTOMCAT_1979_2020_72_plev_nd.nc contains ozone profile in number density units.

Please note that data below 300 hPa (~8km) and 1 hPa (~50 km) should be used with caution.

A manuscript describing MLTOMCAT would be published in EESD (Dhomse et al., 2021)